OpenText Magellan Integration Center vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
OpenText Magellan Integration Center
Score 0.0 out of 10
N/A
OpenText™ Magellan™ Integration Center offers the data integration capabilities needed to exchange data between systems across IT environments and provides a base for analyzing enterprise information. Companies can access and consolidate disparate data and systems to feed data warehouses, operational data stores and analytic applications alongside corporate content repositories and new technologies.N/A
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
Pricing
OpenText Magellan Integration CenterSAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
OpenText Magellan Integration CenterSAS Data Management
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
OpenText Magellan Integration CenterSAS Data Management
Considered Both Products
OpenText Magellan Integration Center

No answer on this topic

SAS Data Management
Chose SAS Data Management
The product is best when combined with the other products of the SAS suite. In particular, it's great for the preparation, analysis and display of the data if it is carried out with the products indicated above. When it is combined with products other than those of the SAS …
Chose SAS Data Management
SAS Data Management Platform requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Has almost all features present as compared to the alternatives we evaluated. On top of it, SAS offered statistical transformations and strong metadata …
Chose SAS Data Management
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
Chose SAS Data Management
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end …
Chose SAS Data Management
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
Chose SAS Data Management
SAS/Access can work well with MySQL. There are some coding differences between the two, for example how missing values are handled or rules for variable names. MySQL has simpler coding, but if you are familiar with Base SAS, it is not too difficult to learn. With SAS/Access the …
Chose SAS Data Management
SAS integration is not easy because there are various PAM related modules which require additional vendor involvement. Overall once all integrations are set up, it's a great tool and provides multiple options to users for running their model.
Features
OpenText Magellan Integration CenterSAS Data Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
OpenText Magellan Integration Center
-
Ratings
SAS Data Management
8.3
Ratings
1% below category average
Connect to traditional data sources00 Ratings8.60 Ratings
Connecto to Big Data and NoSQL00 Ratings8.10 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
OpenText Magellan Integration Center
-
Ratings
SAS Data Management
6.7
Ratings
20% below category average
Simple transformations00 Ratings6.10 Ratings
Complex transformations00 Ratings7.40 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
OpenText Magellan Integration Center
-
Ratings
SAS Data Management
6.7
Ratings
17% below category average
Data model creation00 Ratings5.50 Ratings
Metadata management00 Ratings7.40 Ratings
Business rules and workflow00 Ratings6.60 Ratings
Collaboration00 Ratings7.00 Ratings
Testing and debugging00 Ratings6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
OpenText Magellan Integration Center
-
Ratings
SAS Data Management
7.9
Ratings
3% below category average
Integration with data quality tools00 Ratings7.60 Ratings
Integration with MDM tools00 Ratings8.20 Ratings
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User Ratings
OpenText Magellan Integration CenterSAS Data Management
Likelihood to Recommend
-
(0 ratings)
7.6
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
6.0
(0 ratings)
Performance
-
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
7.7
(0 ratings)
User Testimonials
OpenText Magellan Integration CenterSAS Data Management
Likelihood to Recommend
No answers on this topic
SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
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Pros
No answers on this topic
  • SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
  • Simplicity of the syntax for a basic connection.
  • Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.
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Cons
No answers on this topic
  • It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
  • Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
  • It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.
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Likelihood to Renew
No answers on this topic
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
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Usability
No answers on this topic
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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Performance
No answers on this topic
It worked as expected.
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Support Rating
No answers on this topic
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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Alternatives Considered
No answers on this topic
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.
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Return on Investment
No answers on this topic
  • The platform enabled us to have a single repository of customers to run campaigns on.
  • Feedback from various campaigns is stored in a single database, which makes running A/B analysis easier.
  • Helped improve data quality due to SAS Dataflux being a part of the SAS Data Management Platform.
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ScreenShots